Impotant Links & Dates

Introduction to Lab

Overview

During this lab you will work on building, displaying and
manipulating digital elevation models (DEMs). This lab will be one of the more involved lab this semester (excluding your project). The skills you develop are fundamental to any types of raster analysis you may later undertake.

Two of
the biggest challenges when working with DEMs are a) getting data from whatever format it is provided in
and translating it into a format you can work with and b) getting it to work
and look how you want. This workshop will give you experience acquiring raster data of
different types, building DEMs, and presenting them in useful maps.

Prerequisites

The only prerequisite for this lab is a basic proficiency in using ArcGIS 10 (e.g. Lab 1 and Getting Oriented). It is also expected that you are familiar with the 6 C's to make effective maps.

Lab Objectives

This lab is intended to make you proficient in the use and manipulation of DEMs. The lab not only gives you experience working with DEMs, but many of the skills you develop here are more generally applicable to dealing with raster datasets in general. By the end of the lab, you will:

Have acquired and worked with DEMs in common formats and from typical data sources

Built an appreciation of the tradeoffs between DEMs at different resolutions and built from different data sources using different methods

Instructions & Lab Tasks

As with all labs... This is a fictitious scenario!

For the next week you work for an environmental consulting firm (Big Cheese Watershed Management) which specializes in watershed management. Right before your boss left for a vacation, he spent five minutes leaving you with some vague and hasty instructions
to prepare a bunch of DEMs for a new project the firm just acquired. He wants you to put together your figures and findings on a couple of project pages (your lab pages). The pages will be used to illustrate for the client the variety of DEM data available for their project and to help them understand the differences between the data types. Oh yeah, and the Big Cheese himself wants it done by the time he gets back (with a tan) in a week! Nice guy, eh?

His vague instructions and context can be summarized as follows:

Big Cottonwood Canyon Watershed Group

Big Cottonwood Canyon Watershed

Map (click on for larger view) from Salt Lake City Public Utilities Watershed page.Your client:

"So we just got hired by the Cottonwood Canyons Foundation to help them with public outreach and prioritizing stewardship activities in Big Cottonwood Canyon watershed. I think what we need to do is pull together all the DEM data we can get our hands on for the Canyon. That includes the NED 30 m and 10 m junk, as well as that 2 m LiDaR and 5 m dataset that the Utah GIS portal folks have. We need to create some nice visuals using those different datasets. Then we need to highlight the differences between those available data-sets in terms of what sort of topography is resolved between them. This will be critical information as we move forward helping them use those datasets to prioritize stewardship activities."

Task 1: Show All the DEMs

"Make maps of the Big Cottonwood Watershed using each of the four DEM data sets available and make a compelling argument for which dataset is the best choice for them."

Task 2: Highlight Differences Between the DEMs

"Highlight how the four DEMs differ in terms of the topographic features they can resolve based on their raster resolution and 40 ft contour intervals derived from each. Speculate what the pros and cons of each might be for use in the later stewardship prioritization work we may do for them."

Detailed Instructions: Translation of Your Boss's Vague Instructions

Detailed Instructions

Data for This Lab

While DEM data exists for your area of interest, it is often a challenge to get it in the format you want, covering the extent you are interested in. Since DEMs are rasters, they are typically available in rectangular raster tiles. Almost always, the area you are interested in is on the junction of, or covers, multiple raster tiles. Tasks 1 and 2 are all about working with existing DEM data provided from somewhere else.